| 1 | /**
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| 2 | * @license
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| 3 | * Copyright 2020 Google LLC. All Rights Reserved.
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| 4 | * Licensed under the Apache License, Version 2.0 (the "License");
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| 5 | * you may not use this file except in compliance with the License.
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| 6 | * You may obtain a copy of the License at
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| 7 | *
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| 8 | * http://www.apache.org/licenses/LICENSE-2.0
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| 9 | *
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| 10 | * Unless required by applicable law or agreed to in writing, software
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| 11 | * distributed under the License is distributed on an "AS IS" BASIS,
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| 12 | * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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| 13 | * See the License for the specific language governing permissions and
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| 14 | * limitations under the License.
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| 15 | * =============================================================================
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| 16 | */
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| 17 | /// <amd-module name="@tensorflow/tfjs-core/dist/ops/image/crop_and_resize" />
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| 18 | import { Tensor1D, Tensor2D, Tensor4D } from '../../tensor';
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| 19 | import { TensorLike } from '../../types';
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| 20 | /**
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| 21 | * Extracts crops from the input image tensor and resizes them using bilinear
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| 22 | * sampling or nearest neighbor sampling (possibly with aspect ratio change)
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| 23 | * to a common output size specified by cropSize.
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| 24 | *
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| 25 | * @param image 4d tensor of shape `[batch,imageHeight,imageWidth, depth]`,
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| 26 | * where imageHeight and imageWidth must be positive, specifying the
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| 27 | * batch of images from which to take crops
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| 28 | * @param boxes 2d float32 tensor of shape `[numBoxes, 4]`. Each entry is
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| 29 | * `[y1, x1, y2, x2]`, where `(y1, x1)` and `(y2, x2)` are the normalized
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| 30 | * coordinates of the box in the boxInd[i]'th image in the batch
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| 31 | * @param boxInd 1d int32 tensor of shape `[numBoxes]` with values in range
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| 32 | * `[0, batch)` that specifies the image that the `i`-th box refers to.
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| 33 | * @param cropSize 1d int32 tensor of 2 elements `[cropHeigh, cropWidth]`
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| 34 | * specifying the size to which all crops are resized to.
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| 35 | * @param method Optional string from `'bilinear' | 'nearest'`,
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| 36 | * defaults to bilinear, which specifies the sampling method for resizing
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| 37 | * @param extrapolationValue A threshold for deciding when to remove boxes based
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| 38 | * on score. Defaults to 0.
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| 39 | * @return A 4D tensor of the shape `[numBoxes,cropHeight,cropWidth,depth]`
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| 40 | *
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| 41 | * @doc {heading: 'Operations', subheading: 'Images', namespace: 'image'}
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| 42 | */
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| 43 | declare function cropAndResize_(image: Tensor4D | TensorLike, boxes: Tensor2D | TensorLike, boxInd: Tensor1D | TensorLike, cropSize: [number, number], method?: 'bilinear' | 'nearest', extrapolationValue?: number): Tensor4D;
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| 44 | export declare const cropAndResize: typeof cropAndResize_;
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| 45 | export {};
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